{"id":"W2768435049","doi":"10.3389/fnagi.2017.00379","title":"Smart Aging Platform for Evaluating Cognitive Functions in Aging: A Comparison with the MoCA in a Normal Population","year":2017,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; Ministero della Salute","keywords":"Montreal Cognitive Assessment; Cognition; Executive functions; Psychology; Population; Set (abstract data type); Working memory; Gerontology; Cognitive evaluation theory; Audiology; Medicine; Cognitive impairment; Computer science; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001470329,0.0001468923,0.0002436492,0.0004323908,0.0005872478,0.000206879,0.0002559207,0.00003155977,0.000003686802],"category_scores_gemma":[0.0007929242,0.0001128471,0.00003940146,0.0004519187,0.0002762484,0.0005812082,0.0001121823,0.0004185286,0.000001175493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001490327,"about_ca_system_score_gemma":0.0001336476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004072717,"about_ca_topic_score_gemma":0.0006139637,"domain_scores_codex":[0.9981018,0.00007935589,0.0002732303,0.0004513192,0.0005388989,0.0005554109],"domain_scores_gemma":[0.999301,0.0001318395,0.0001609392,0.0002401783,0.00009264767,0.00007344804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002121771,0.0001149757,0.9833465,0.00003934031,0.000003471649,0.00002566993,0.0009994936,0.0002323977,0.0005210824,0.000008051213,0.0001146673,0.01438218],"study_design_scores_gemma":[0.002522693,0.0003336129,0.8523861,0.0004020264,0.00002375826,0.00001038992,0.002720077,0.1410138,0.000326449,0.00006353777,0.00008638205,0.0001111506],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699865,0.00005221893,0.02578073,0.00167437,0.0003879107,0.001179684,0.000004488635,0.00002027377,0.0009138296],"genre_scores_gemma":[0.9979008,0.000004677302,0.000930036,0.0004407403,0.00003395749,0.0002070012,0.0000122463,0.00001463462,0.0004558675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1407814,"threshold_uncertainty_score":0.4601772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946780460396489,"score_gpt":0.382681446544293,"score_spread":0.3132136419403281,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}